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Open AccessArticle

Standard and Specific Compression Techniques for DNA Microarray Images

Department of Information and Communications Engineering, Building Q, Universitat Autònoma de Barcelona, Bellaterra, Cerdanyola del Vallès, 08193 Barcelona, Spain
Department of Electrical and Computer Engineering, The University of Arizona, 1230 E Speedway Blvd, Tucson, AZ 85721-0104AZ, USA
Author to whom correspondence should be addressed.
Algorithms 2012, 5(1), 30-49;
Received: 14 November 2011 / Revised: 22 January 2012 / Accepted: 22 January 2012 / Published: 14 February 2012
(This article belongs to the Special Issue Data Compression, Communication and Processing)
PDF [650 KB, uploaded 14 February 2012]


We review the state of the art in DNA microarray image compression and provide original comparisons between standard and microarray-specific compression techniques that validate and expand previous work. First, we describe the most relevant approaches published in the literature and classify them according to the stage of the typical image compression process where each approach makes its contribution, and then we summarize the compression results reported for these microarray-specific image compression schemes. In a set of experiments conducted for this paper, we obtain new results for several popular image coding techniques that include the most recent coding standards. Prediction-based schemes CALIC and JPEG-LS are the best-performing standard compressors, but are improved upon by the best microarray-specific technique, Battiato’s CNN-based scheme.
Keywords: microarray images; microarray image compression; image coding standards; JPEG2000 microarray images; microarray image compression; image coding standards; JPEG2000

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This is an open access article distributed under the Creative Commons Attribution License (CC BY 3.0).

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MDPI and ACS Style

Hernández-Cabronero, M.; Blanes, I.; Marcellin, M.W.; Serra-Sagristà, J. Standard and Specific Compression Techniques for DNA Microarray Images. Algorithms 2012, 5, 30-49.

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